Tesla's Dojo supercomputer project has been disbanded after the project's leader and most employees left for another AI initiative, representing a significant setback for Tesla's ambitions in autonomous driving. For years, Tesla aimed to outperform competitors by developing its supercomputer for AI models in-house, rather than relying on external suppliers. However, ongoing technical delays and the loss of key talent have hindered progress. Musk confirmed a shift in strategy towards next-generation AI chips designed for improved performance in vehicles, focusing on inference capabilities while acknowledging the challenges.
For years, Tesla touted its custom built supercomputer meant to train machine-learning models for Tesla's Autopilot, Full Self-Driving, and Optimus robots as the thing that will give it the leg up over other autonomous vehicle developers.
Technical delays and a talent exodus seemed to push success further and further away.
Musk confirmed Tesla's change in approach, writing on X that the next-generation AI chips going into the company's vehicles will be excellent for inference and at least pretty good for training.
The latest to leave is Peter Bannon, who had been leading Dojo since Venkataramanan's departure. He is also joining Density AI, along with 20 other ex-Tesla engineers.
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